5 Questions
What are the three main measures of location, and which one is most sensitive to extreme values?
The three main measures of location are mean, median, and mode. The mean is most sensitive to extreme values.
Which measure of location is best suited for skewed distributions, and why?
The median is best suited for skewed distributions because it is more resistant to extreme values and provides a better representation of the central tendency.
What is the mode, and how is it different from the mean and median?
The mode is the value that appears most frequently in a dataset. It is different from the mean and median because it does not necessarily represent the 'average' value, but rather the most common value.
How does the presence of outliers affect the mean, median, and mode?
Outliers greatly affect the mean, moderately affect the median, and do not affect the mode.
In what situations would the median be a better measure of location than the mean?
The median is a better measure of location than the mean when the data is skewed, has outliers, or is ordinal.
Test your understanding of statistical measures of location, including the mean, median, and mode. Learn how to choose the best measure for different types of data and how outliers affect each measure.
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